Indrajeet Patil
Senior Software Engineer at Preisenergie
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolIndrajeet Patil is a Senior Software Engineer based in Munich with 11 years of experience building robust, scalable full-stack applications and data-driven tooling across energy, pharma, and research domains. He blends production engineering (FastAPI, Next.js, Kubernetes, CI/CD, GCP migrations) with deep R expertise—authoring and improving linters, statistical tidying functions, and visualization utilities in well-known open-source projects like lintr, broom, and easystats. His background as a neuroscience PhD and postdoc at institutions such as Harvard and the Max Planck Institute gives him a rare ability to translate complex scientific problems into maintainable software and reproducible analyses. Comfortable leading full-stack Shiny apps, R package ecosystems, and ETL pipelines, he’s equally at home optimizing model-summary methods as he is orchestrating microservices. Notably, he has contributed to widely used R tooling that improves code quality and model interpretability, reflecting a meticulous focus on developer experience and statistical correctness.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Science - BS, Physics, 83%, Bachelor of Science - BS, Physics, 83% at Fergusson CollegeFull-stack Web Development, Computer Software Engineering, Full-stack Web Development, Computer Software Engineering at IronhackMaster of Science - MS, Physics, First class, Master of Science - MS, Physics, First class at Savitribai Phule Pune UniversityDoctor of Philosophy - PhD, Cognitive Neuroscience, summa cum laude, Doctor of Philosophy - PhD, Cognitive Neuroscience, summa cum laude at SISSA
Hindi, Marathi, English, German, Italian
Github Skills (23)
code-formatting10
data-visualizations10
r10
testing10
statistics10
test-framework10
rs10
data-visualisation10
statistic10
r-stats10
tidy10
code-analysis10
tidyr10
data-visualization10
modeling10
Programming languages (22)
Github contributions (5)
easystats/easystats
Jan 2021 - Jan 2023
:milky_way: The R easystats-project
Role in this project:
Data Scientist
Data ScientistContributions:1 release, 49 reviews, 415 commits in 2 years
Contributions summary:Indrajeet contributed to the development and documentation of statistical methods within the easystats R package. Their work focused on creating and refining visualizations for statistical results, specifically within the context of Bayesian analysis. The user modified R scripts to generate figures, and included improvements to documentation and examples, aligning with the goals of the easystats project.
r-packagestatisticshypothesis-testingeasystatsregression-models
r-lib/lintr
Jun 2022 - Jan 2023
Static Code Analysis for R
Role in this project:Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:1 release, 722 reviews, 338 commits in 7 months
Contributions summary:Indrajeet primarily contributed to the `lintr` repository by implementing and improving linters to identify and correct coding style issues in R code. Their work includes creating a new linter for sequence expressions (`seq_linter`), correcting spelling mistakes, and enhancing existing linters such as `redundant_ifelse_linter` and the message for `seq_linter`. The user also worked on the test suite by adding tests to existing linters and testing integration with CI systems, demonstrating a focus on improving code quality.
linterstatic-code-analysiscode-analysisr
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